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About Study Course

Credit points / ECTS:3 / 4.5
Course supervisor:Diāna Kalniņa
Course level:Bachelor
Target audience:Sociology
Study course descriptionFull description
Branch of science:Communication Sciences

Objective

To acquire basic knowledge and skills in statistical data processing methods, which are necessary for the development of scientific research work and application of statistical indicators in specialty. Raise the students’ awareness of the role of statistics in research and interpretation.

Prerequisites

Secondary education knowledge in computer science and mathematics.

Learning outcomes

Knowledge

1. Accurate use of basic statistical concepts. 2. Describe measurement data using basic statistical tests and indicators.

Skills

1. Able to enter data in the processing program. 2. Determine the type of data and evaluate their distribution. 3. Able to formulate hypotheses (zero; alternative) and choose the appropriate test. 4. Able to calculate Pearson and Spearman’s correlation ratios. 5. Able to draw data specific diagrams.

Competence

Students will be able to select appropriate statistical data processing methods, formulate hypotheses, process data and interpret the obtained results. Evaluate the obtained data using statistical and analytical tools.

Study course planning

Course planning not avalible right now.